At a Glance
- Tasks: Design and develop AI/ML solutions for the LLM Suite platform, tackling complex technical challenges.
- Company: Join JPMorganChase, a leader in innovative financial solutions with a rich history.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative team culture focused on feedback and continuous improvement.
- Why this job: Make an impact by building cutting-edge AI systems that shape the future of finance.
- Qualifications: Computer science degree or equivalent experience; strong coding and system design skills.
The predicted salary is between 60000 - 80000 £ per year.
Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you’ll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You’ll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you’ll fit right in.
As an Applied AI ML Senior Associate in LLM Suite Engineering, you will:
- Design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform.
- Write secure, high-quality code and support algorithms that integrate with existing systems.
- Collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability.
- Help deliver GenAI services using public cloud capabilities.
- Explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.
- Contribute as a team player who seeks and applies feedback.
Job Responsibilities:
- Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges.
- Write secure, high-quality production code and maintain algorithms that integrate with existing systems.
- Collaborate with senior engineers and participate in design discussions.
- Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks.
- Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock.
- Collaborate openly with the team, seek feedback, and apply it to improve outcomes.
Required Qualifications, Capabilities, and Skills:
- Computer science degree or equivalent practical experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Strong understanding of the Software Development Life Cycle.
Preferred Qualifications, Capabilities, and Skills:
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock.
- Proficiency in Python (FastAPI).
- Experience building microservices and APIs.
- Experience with elastic compute, NoSQL databases, and messaging queues.
- Proficiency working with large language models and building agents with LangGraph.
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization.
- Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Applied AI ML Senior Associate â LLM Suite Engineering employer: 慨正橡扯
At JPMorganChase, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. As an Applied AI ML Senior Associate, you'll have the opportunity to work with cutting-edge technology in a supportive culture that values diversity and inclusion, while also benefiting from extensive professional development opportunities. Our commitment to employee growth, combined with our global reach and impact, makes us an exceptional employer for those looking to make a meaningful contribution in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Senior Associate â LLM Suite Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We all know how tricky they can be, so get comfortable with them before the big day!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Applied AI ML Senior Associate â LLM Suite Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience with AI/ML, cloud architecture, and any relevant projects you've worked on. We want to see how you can contribute to our LLM Suite platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Share specific examples of how you've tackled complex technical challenges and collaborated with teams. Let us know why you're excited about working with us at JPMorganChase!
Showcase Your Technical Skills:Since this role involves building secure, high-quality code, make sure to mention your proficiency in Python and any experience with GenAI services. If you've worked with Azure or AWS, give us the details! We love seeing candidates who are hands-on and ready to dive into the tech.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI/ML frameworks and cloud architectures like Azure and AWS. Be ready to discuss how you've used these technologies in past projects, especially in building secure and reliable systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex technical challenges you've faced and how you approached solving them. Highlight your creative thinking and ability to iterate quickly based on feedback, as this aligns with the role's requirements.
✨Collaborate and Communicate
Since collaboration is key in this role, practice discussing your experiences working with senior engineers and participating in design discussions. Emphasise your openness to feedback and how you've applied it to improve outcomes in previous projects.
✨Demonstrate Your Coding Proficiency
Be ready to talk about your experience with Python, FastAPI, and building microservices. You might even want to prepare for a coding challenge or technical questions that test your understanding of software development life cycles and operational stability.